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Rational Machines And Artificial Intelligence

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Rational Machines and Artificial Intelligence

Rational Machines and Artificial Intelligence Book
Author : Tshilidzi Marwala
Publisher : Academic Press
Release : 2021-03-31
ISBN : 0128209445
Language : En, Es, Fr & De

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Book Description :

Intelligent machines are populating our social, economic and political spaces. These intelligent machines are powered by Artificial Intelligence technologies such as deep learning. They are used in decision making. One element of decision making is the issue of rationality. Regulations such as the General Data Protection Regulation (GDPR) require that decisions that are made by these intelligent machines are explainable. Rational Machines and Artificial Intelligence proposes that explainable decisions are good but the explanation must be rational to prevent these decisions from being challenged. Noted author Tshilidzi Marwala studies the concept of machine rationality and compares this to the rationality bounds prescribed by Nobel Laureate Herbert Simon and rationality bounds derived from the work of Nobel Laureates Richard Thaler and Daniel Kahneman. Rational Machines and Artificial Intelligence describes why machine rationality is flexibly bounded due to advances in technology. This effectively means that optimally designed machines are more rational than human beings. Readers will also learn whether machine rationality can be quantified and identify how this can be achieved. Furthermore, the author discusses whether machine rationality is subjective. Finally, the author examines whether a population of intelligent machines collectively make more rational decisions than individual machines. Examples in biomedical engineering, social sciences and the financial sectors are used to illustrate these concepts. Provides an introduction to the key questions and challenges surrounding Rational Machines, including, When do we rely on decisions made by intelligent machines? What do decisions made by intelligent machines mean? Are these decisions rational or fair? Can we quantify these decisions? and Is rationality subjective? Introduces for the first time the concept of rational opportunity costs and the concept of flexibly bounded rationality as a rationality of intelligent machines and the implications of these issues on the reliability of machine decisions Includes coverage of Rational Counterfactuals, group versus individual rationality, and rational markets Discusses the application of Moore’s Law and advancements in Artificial Intelligence, as well as developments in the area of data acquisition and analysis technologies and how they affect the boundaries of intelligent machine rationality

Causality Correlation and Artificial Intelligence for Rational Decision Making

Causality  Correlation and Artificial Intelligence for Rational Decision Making Book
Author : Tshilidzi Marwala
Publisher : World Scientific
Release : 2015-01-02
ISBN : 9814630888
Language : En, Es, Fr & De

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Book Description :

Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman–Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict. Contents:Introduction to Artificial Intelligence based Decision MakingWhat is a Correlation Machine?What is a Causal Machine?Correlation Machines Using Optimization MethodsNeural Networks for Modeling Granger CausalityRubin, Pearl and Granger Causality Models: A Unified ViewCausal, Correlation and Automatic Relevance Determination Machines for Granger CausalityFlexibly-bounded RationalityMarginalization of Irrationality in Decision MakingConclusions and Further Work Readership: Graduate students, researchers and professionals in the field of artificial intelligence. Key Features:It proposes fresh definition of causality and proposes two new theories i.e. flexibly bounded rationality and marginalization of irrationality theory for decision makingIt also applies these techniques to a diverse areas in engineering, political science and biomedical engineeringKeywords:Causality;Correlation;Artificial Intelligence;Rational Decision Making

Artificial Intelligence Techniques for Rational Decision Making

Artificial Intelligence Techniques for Rational Decision Making Book
Author : Tshilidzi Marwala
Publisher : Springer
Release : 2014-10-20
ISBN : 3319114247
Language : En, Es, Fr & De

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Book Description :

Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of flexibly-bounded rationality which prescribes that the bounds in Nobel Laureate Herbert Simon’s bounded rationality theory are flexible due to advanced signal processing techniques, Moore’s Law and artificial intelligence. Artificial Intelligence Techniques for Rational Decision Making examines and defines the concepts of causal and correlation machines and applies the transmission theory of causality as a defining factor that distinguishes causality from correlation. It develops the theory of rational counterfactuals which are defined as counterfactuals that are intended to maximize the attainment of a particular goal within the context of a bounded rational decision making process. Furthermore, it studies four methods for dealing with irrelevant information in decision making: Theory of the marginalization of irrelevant information Principal component analysis Independent component analysis Automatic relevance determination method In addition it studies the concept of group decision making and various ways of effecting group decision making within the context of artificial intelligence. Rich in methods of artificial intelligence including rough sets, neural networks, support vector machines, genetic algorithms, particle swarm optimization, simulated annealing, incremental learning and fuzzy networks, this book will be welcomed by researchers and students working in these areas.

Artificial Intelligence and Economic Theory Skynet in the Market

Artificial Intelligence and Economic Theory  Skynet in the Market Book
Author : Tshilidzi Marwala,Evan Hurwitz
Publisher : Springer
Release : 2017-09-18
ISBN : 3319661043
Language : En, Es, Fr & De

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Book Description :

This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.

Philosophy and Theory of Artificial Intelligence

Philosophy and Theory of Artificial Intelligence Book
Author : Vincent C. Müller
Publisher : Springer Science & Business Media
Release : 2012-08-23
ISBN : 3642316743
Language : En, Es, Fr & De

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Book Description :

Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.

Handbook Of Machine Learning Volume 2 Optimization And Decision Making

Handbook Of Machine Learning   Volume 2  Optimization And Decision Making Book
Author : Marwala Tshilidzi,Leke Collins Achepsah
Publisher : World Scientific
Release : 2019-11-21
ISBN : 981120568X
Language : En, Es, Fr & De

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Book Description :

Building on Handbook of Machine Learning - Volume 1: Foundation of Artificial Intelligence, this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provides a starting point for machine learning enthusiasts as a comprehensive guide on classical optimization methods. It also provides an in-depth overview on how artificial intelligence can be used to define, disprove or validate economic modeling and decision making concepts.

Artificial Intelligence and its Impact on Business

Artificial Intelligence and its Impact on Business Book
Author : Wolfgang Amann,Agata Stachowicz-Stanusch
Publisher : IAP
Release : 2020-06-01
ISBN : 1648020755
Language : En, Es, Fr & De

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Book Description :

Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. The fourth industrial revolution will replace not only human hands but also human brains, the time of machines requires new forms of work and new ways of business education, however we must be aware that if there is no control of human-chatbot interaction, there is a risk of losing sight of this interaction’s goal. First, it is important to get people to truly understand AI systems, to intentionally participate in their use, as well as to build their trust, because “the measure of success for AI applications is the value they create for human lives” (Stanford University 2016, 33). Consequently, society needs to adapt to AI applications if it is to extend its benefits and mitigate the inevitable errors and failures. This is why it is highly recommended to create new AI-powered tools for education that are the result of cooperation between AI researchers and humanities’ and social sciences’ researchers, who can identify cognitive processes and human behaviors. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions what we should teach (what the ‘right’ set of future skills is), how we should teach (the way in which schools should teach and assess them) and where we should teach (what implications does AI have for today’s education infrastructure). We must remember as we have already noticed before “…education institutions would need to ensure that that they have an appropriate infrastructure, as well as the safety and credibility of AI-based systems. Ultimately, the law and policies need to adjust to the rapid pace of AI development, because the formal responsibility for appropriate learning outcomes will in future be divided between a teacher and a machine. Above all, we should ensure that AI respect human and civil rights (Stachowicz-Stanusch, Amann, 2018)”.

Machine Learning Concepts Tools And Data Visualization

Machine Learning  Concepts  Tools And Data Visualization Book
Author : Minsoo Kang,Eunsoo Choi
Publisher : World Scientific
Release : 2021-03-16
ISBN : 9811228167
Language : En, Es, Fr & De

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Book Description :

This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three parts. The first is an overview of the history of artificial intelligence, machine learning, and data science, and also includes case studies of well-known AI systems. The second is a step-by-step introduction to Azure Machine Learning, with examples provided. The third is an explanation of the techniques and methods used in data visualization with R, which can be used to communicate the results collected by the AI systems when they are analyzed statistically. Practice questions are provided throughout the book.

Thinking Machines

Thinking Machines Book
Author : Alasdair GILCHRIST
Publisher : Unknown
Release : 2017-07
ISBN : 9781521729397
Language : En, Es, Fr & De

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Book Description :

IntroductionIn this series of books - Creating Thinking Machines - we will go on a journey to trace the evolution of the mechanical machine of the last century and its transformation into the intelligent, logical and even rational machine of today. It has progressed so quickly that concerns have been raised in the US senate and the EU parliament due to concerns that these machines have become too intelligent, too smart, and most worrying of all too independent. These autonomous, intelligent machines are not some near future problem their evolution and development started many decades ago. And as with most technological marvels their development progressed slowly and then very quickly leaving us with no time to put in place legislation or a strategy to manage them. Consequently, there is not even a rough plan as to how to handle their proliferation through industry, how they will redefine work and take jobs across the entire spectrum. Most importantly to society as these thinking machines are insidiously permeating into all fabric of our world, will be our relationship with the technology, will we ultimately become dependent upon them. But what are they, how did they come about, and what are the technologies that they are based upon? Those are the question that this series of books hopes to shine some light upon. By doing so, we will explain how a conflation of technologies matured at an opportune time to accelerate the development of such intelligent entities, which now stand on the precipice of an industrial revolution. That such a potentially existential threat could be within not our lifetimes but a handful of years was laughable just five years ago. Yet it has arrived at such speed that it has left us unprepared and with uncertain futures. Throughout this series of books we will examine through in-depth introductions into the fields of robotics, data science, artificial intelligence, machine learning, and neuroscience how to create a thinking machine. Further we will strive to reveal how incremental but hugely important advancements in electronics, algorithms, analytics and microbiology have fueled the transformation of the mechanical machines of the 90's into the thinking machines of 2017. For better or worse they will walk among us, we have created them and cannot un-invent them so you had better learn something about them.

Apocalyptic AI Visions of Heaven in Robotics Artificial Intelligence and Virtual Reality

Apocalyptic AI  Visions of Heaven in Robotics  Artificial Intelligence  and Virtual Reality Book
Author : Robert M. Geraci
Publisher : Oxford University Press, USA
Release : 2010-02-05
ISBN : 019997893X
Language : En, Es, Fr & De

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Book Description :

Apocalyptic AI, the hope that we might one day upload our minds into machines or cyberspace and live forever, is a surprisingly wide-spread and influential idea, affecting everything from the world view of online gamers to government research funding and philosophical thought. In Apocalyptic AI, Robert Geraci offers the first serious account of this "cyber-theology" and the people who promote it. Drawing on interviews with roboticists and AI researchers and with devotees of the online game Second Life, among others, Geraci illuminates the ideas of such advocates of Apocalyptic AI as Hans Moravec and Ray Kurzweil. He reveals that the rhetoric of Apocalyptic AI is strikingly similar to that of the apocalyptic traditions of Judaism and Christianity. In both systems, the believer is trapped in a dualistic universe and expects a resolution in which he or she will be translated to a transcendent new world and live forever in a glorified new body. Equally important, Geraci shows how this worldview shapes our culture. Apocalyptic AI has become a powerful force in modern culture. In this superb volume, he shines a light on this belief system, revealing what it is and how it is changing society.

KI 2008 Advances in Artificial Intelligence

KI 2008  Advances in Artificial Intelligence Book
Author : Andreas Dengel,Karsten Berns,Thomas Breuel,Frank Bomarius,Thomas R. Roth-Berghofer
Publisher : Springer
Release : 2008-09-24
ISBN : 3540858458
Language : En, Es, Fr & De

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Book Description :

KI 2008 was the 31st Annual German Conference on Arti?cial Intelligence held September 23–26 at the University of Kaiserslautern and the German Research Center for Arti?cial Intelligence DFKI GmbH in Kaiserslautern, Germany. The conference series started in 1975 with the German Workshop on AI (GWAI), which took place in Bonn, and represents the ?rst forum of its type for the German AI Community. Over the years AI has become a major ?eld in c- puter scienceinGermanyinvolvinga numberof successfulprojects thatreceived much international attention. Today KI conferences are international forums where participants from academia and industry from all over the world meet to exchange their recent research results and to discuss trends in the ?eld. Since 1993 the meeting has been called the “Annual German Conference on Arti?cial Intelligence,” designated by the German acronym KI. This volume contains the papers selected out of 77 submissions, including a number of submissions from outside German-speaking countries. In total, 15 submissions (19%) were accepted for oral and 30 (39%) for poster presentation. Oralpresentationsattheconferenceweresingletrack. Becauseofthis,thechoice of presentation form (oral, poster) was based on how well reviews indicated that the paper would ?t into one or the other format. The proceedings allocate the same space to both types of papers. In addition, we selected six papers that show high application potential - scribing systems or prototypical implementations of innovative AI technologies. They are also included in this volume as two-page extended abstracts.

Artificial Intelligence and the Law

Artificial Intelligence and the Law Book
Author : Dennis J. Baker,Paul H. Robinson
Publisher : Routledge
Release : 2020-10-29
ISBN : 1000210529
Language : En, Es, Fr & De

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Book Description :

This volume presents new research in artificial intelligence (AI) and Law with special reference to criminal justice. It brings together leading international experts including computer scientists, lawyers, judges and cyber-psychologists. The book examines some of the core problems that technology raises for criminal law ranging from privacy and data protection, to cyber-warfare, through to the theft of virtual property. Focusing on the West and China, the work considers the issue of AI and the Law in a comparative context presenting the research from a cross-jurisdictional and cross-disciplinary approach. As China becomes a global leader in AI and technology, the book provides an essential in-depth understanding of domestic laws in both Western jurisdictions and China on criminal liability for cybercrime. As such, it will be a valuable resource for academics and researchers working in the areas of AI, technology and criminal justice.

Artificial Intelligence

Artificial Intelligence Book
Author : Blay Whitby
Publisher : The Rosen Publishing Group, Inc
Release : 2009-01-15
ISBN : 143585165X
Language : En, Es, Fr & De

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Book Description :

Introduces artificial intelligence, what it can do, myths about it, and ways it may expand in the future.

Leadership Lessons from Books I Have Read

Leadership Lessons from Books I Have Read Book
Author : Tshilidzi Marwala
Publisher : Jonathan Ball Publishers
Release : 2021-06-18
ISBN : 1776260937
Language : En, Es, Fr & De

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Book Description :

‘Professor Marwala has sought to understand what good leadership should mean by drawing on the collective experience of authors who have written on many topics.’ – Former President of South Africa, THABO MBEKI We cannot underestimate how critical strong leadership is in all aspects of our lives. It enables us to run our lives, homes, communities, workplaces and nations. Given its importance, it is pertinent to ask: What is the source of good leadership? Albert Einstein once said, ‘The only source of knowledge is experience.’ Many philosophers have observed this and, if we accept experience as the only source of knowledge, can we extend this conclusion to leadership? Or is the basis of good leadership intuition or instinct? Or is it perhaps a combination of these? In Leadership Lessons From Books I Have Read, Tshilidzi Marwala adopts the thesis that the source of good leadership is knowledge, and the source of knowledge is experience, which can take many forms: reading widely, listening, and engaging in discussion and debate with other knowledge seekers. If leadership is derived from knowledge and knowledge is derived from experience, the ‘experience’ in this book is from 50 books that Tshilidzi has read, and so the source of knowledge informing leadership is the collective experience of the more than 50 accomplished authors who wrote those books including, among others, Chinua Achebe, Thomas Sankara, NoViolet Bulawayo, Nelson Mandela, Mandla Mathebula, Eugène Marais, Chimamanda Ngozi Adichie, Jean-Jacques Rousseau, Daniel Kahneman, Karl Marx, Ngũgĩ wa Thiong’o, Nassim Taleb and Aristotle. Divided into four sections, Tshilidzi shares his leadership lessons in the areas of Africa and the diaspora, the search for the ideal polity, science, technology and society, and the leadership of nations. ‘Those who do not read, should not lead.’ – THILIDZI MARWALA

Impact of Smart Technologies and Artificial Intelligence AI Paving Path Towards Interdisciplinary Research in the Fields of Engineering Arts Humanities Commerce Economics Social Sciences Law and Management Challenges and Opportunities

Impact of Smart Technologies and Artificial Intelligence  AI  Paving Path Towards Interdisciplinary Research in the Fields of Engineering  Arts  Humanities  Commerce  Economics  Social Sciences  Law and Management   Challenges and Opportunities Book
Author : Dr. Sundari Suresh,Dr. S. Radha Rammohan,Dr. K. Bharath
Publisher : Shanlax Publications
Release : 2021-12-03
ISBN : 9391373127
Language : En, Es, Fr & De

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Book Description :

This e-ISBN collection of 34 chapters draws on the diverse insights of the opportunities and emerging challenges, changes in the smart technologies and artificial intelligence{AI} paving path towards interdisciplinary research in the fields of Engineering, Arts, Humanities, Commerce, Economics, Social Sciences, Law and Management. It offers decision-makers a comprehensive picture of the impact of Smart technologies and Artificial Intelligence (AI) expected in the long-term changes, and inspiration to leverage the opportunities that offer to improve the state of education. Academicians must find and establish a new equilibrium and a new normal for learning amid the present challenges.

The Boundaries of Humanity

The Boundaries of Humanity Book
Author : James J. Sheehan,James John Sheehan,Morton Sosna
Publisher : Univ of California Press
Release : 1991-01-01
ISBN : 9780520072077
Language : En, Es, Fr & De

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Book Description :

"An excellent interdisciplinary collage . . . of considerable interest to philosophers, psychologists, computer scientists (of a theoretical stripe), sociologists, and others. . . . Rethinking our relationship to animals is very relevant, I believe, to thinking clearly about our current relationships to current (and future) machines."--Keith Gunderson, University of Minnesota

Artificial Intelligence and Economic Analysis

Artificial Intelligence and Economic Analysis Book
Author : Scott J. Moss,John Rae
Publisher : Edward Elgar Publishing
Release : 1992-01-01
ISBN : 9781782541769
Language : En, Es, Fr & De

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Book Description :

This important book presents new and original work at the frontiers of economics, namely the interface between artificial intelligence (AI) and neoclassical economics. Artificial Intelligence and Economic Analysis focuses on three quite distinct lines of AI orientated research in economics: applications intended to extend neoclassical theory, applications intended to undermine neoclassical theory and applications which ignore neoclassical theory in the quest for new modelling techniques and fields of analysis. The contributors - all of whom are well established in the field - do not simply report established results but seek to identify those areas where the science of artificial intelligence could enrich standard economic analysis. It includes material from mainstream economists who are willing to express their own views about the limits of mainstream economic modelling and AI based economic modelling. The book makes an important contribution to a new and exciting area of economics which holds much hope for the future.

Machine Learning ECML 2001

Machine Learning  ECML 2001 Book
Author : Luc de Raedt,Peter Flach
Publisher : Springer
Release : 2003-06-30
ISBN : 3540447954
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001. The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning.

Artificial Intelligence For Dummies

Artificial Intelligence For Dummies Book
Author : John Paul Mueller,Luca Massaron
Publisher : John Wiley & Sons
Release : 2021-11-24
ISBN : 1119796768
Language : En, Es, Fr & De

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Book Description :

Forget far-away dreams of the future. Artificial intelligence is here now! Every time you use a smart device or some sort of slick technology—be it a smartwatch, smart speaker, security alarm, or even customer service chat box—you’re engaging with artificial intelligence (AI). If you’re curious about how AI is developed—or question whether AI is real—Artificial Intelligence For Dummies holds the answers you’re looking for. Starting with a basic definition of AI and explanations of data use, algorithms, special hardware, and more, this reference simplifies this complex topic for anyone who wants to understand what operates the devices we can’t live without. This book will help you: Separate the reality of artificial intelligence from the hype Know what artificial intelligence can accomplish and what its limits are Understand how AI speeds up data gathering and analysis to help you make informed decisions more quickly See how AI is being used in hardware applications like drones, robots, and vehicles Know where AI could be used in space, medicine, and communication fields sooner than you think Almost 80 percent of the devices you interact with every day depend on some sort of AI. And although you don’t need to understand AI to operate your smart speaker or interact with a bot, you’ll feel a little smarter—dare we say more intelligent—when you know what’s going on behind the scenes. So don’t wait. Pick up this popular guide to unlock the secrets of AI today!

Ethics of Artificial Intelligence

Ethics of Artificial Intelligence Book
Author : S. Matthew Liao
Publisher : Oxford University Press, USA
Release : 2020
ISBN : 0190905034
Language : En, Es, Fr & De

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Book Description :

Should a self-driving car prioritize the lives of the passengers over the lives of pedestrians? Should we as a society develop autonomous weapon systems that are capable of identifying and attacking a target without human intervention? What happens when AIs become smarter and more capable than us? Could they have greater than human moral status? Can we prevent superintelligent AIs from harming us or causing our extinction? At a critical time in this fast-moving debate, thirty leading academics and researchers at the forefront of AI technology development come together to explore these existential questions, including Aaron James (UC Irvine), Allan Dafoe (Oxford), Andrea Loreggia (Padova), Andrew Critch (UC Berkeley), Azim Shariff (Univ. .